Confirmation bias is a driver of problematic decision making. People search information supporting current beliefs and ignore real critical evidence. Counter-argument i.e. providing evidences opposite to preferred beliefs was shown to have an effect on reducing confirmation bias. This study advances past studies by separating counter-arguments into two types and examining their effects in different stock investment contexts. We attempt to show that different types of counter-arguments are needed under different decisional contexts.

Relation:

Proceedings of the Thirteenth Annual Conference of the Southern Association for Information Systems